Amr Parsing On Ldc2017T10
評価指標
Smatch
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
比較表
| モデル名 | Smatch |
|---|---|
| oxford-at-semeval-2017-task-9-neural-amr | 61.9 |
| maximum-bayes-smatch-ensemble-distillation | 85.9 |
| one-spring-to-rule-them-both-symmetric-amr | 84.3 |
| core-semantic-first-a-top-down-approach-for | 73.2 |
| transition-based-parsing-with-stack | 79.0 |
| incorporating-graph-information-in | 86.1 |
| atp-amrize-then-parse-enhancing-amr-parsing | 85.2 |
| graph-pre-training-for-amr-parsing-and-1 | 85.4 |
| improving-amr-parsing-with-sequence-to | 81.4 |
| amr-parsing-via-graph-sequence-iterative | 80.2 |
| amr-parsing-as-sequence-to-graph-transduction | 76.3 |
| broad-coverage-semantic-parsing-as | 77.0 |
| incorporating-graph-information-in | 84.7 |
| bibl-amr-parsing-and-generation-with | 84.6 |
| amr-parsing-with-action-pointer-transformer | 82.6 |
| a-differentiable-relaxation-of-graph | 76.1 |
| ensembling-graph-predictions-for-amr-parsing | 86.26 |
| structure-aware-fine-tuning-of-sequence-to | 84.7 |
| levi-graph-amr-parser-using-heterogeneous | 80 |
| bibl-amr-parsing-and-generation-with | 84.7 |
| atp-amrize-then-parse-enhancing-amr-parsing | 85.3 |
| rewarding-smatch-transition-based-amr-parsing | 73.4 |
| maximum-bayes-smatch-ensemble-distillation | 86.7 |
| neural-semantic-parsing-by-character-based | 71.0 |
| ensembling-graph-predictions-for-amr-parsing | 85.85 |
| amr-parsing-as-graph-prediction-with-latent | 74.4 |
| pushing-the-limits-of-amr-parsing-with-self | 81.3 |